IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-35074-3_8.html
   My bibliography  Save this book chapter

The Role of Supercomputing in Industrial Combustion Modeling

In: High Performance Computing on Vector Systems

Author

Listed:
  • Natalia Currle-Linde

    (High Performance Computing Center Stuttgart (HLRS))

  • Benedetto Risio

    (RECOM Services)

  • Uwe Küster

    (High Performance Computing Center Stuttgart (HLRS))

  • Michael Resch

    (High Performance Computing Center Stuttgart (HLRS))

Abstract

Currently, numerical simulation using automated parameter studies is already a key tool in discovering functional optima in complex systems such as biochemical drug design and car crash analysis. In the future, such studies of complex systems will be extremely important for the purpose of steering simulations. One such example is the optimum design and steering of computation equipment for power plants. The performance of today’s high performance computers enables simulation studies with results that are comparable to those obtained from physical experimentation. Recently, Grid technology has supported this development by providing uniform and secure access to computing resources over wide area networks (WANs), making it possible for industries to investigate large numbers of parameter sets using sophisticated optimization simulations. However, the large scale of such studies requires organized support for the submission, monitoring, and termination of jobs, as well as mechanisms for the collection of results, and the dynamic generation of new parameter sets in order to intelligently approach an optimum. In this paper, we describe a solution to these problems which we call Science Experimental Grid Laboratory (SEGL). The system defines complex workflows which can be executed in the Grid environment, and supports the dynamic generation of parameter sets.

Suggested Citation

  • Natalia Currle-Linde & Benedetto Risio & Uwe Küster & Michael Resch, 2006. "The Role of Supercomputing in Industrial Combustion Modeling," Springer Books, in: Michael Resch & Thomas Bönisch & Katharina Benkert & Wolfgang Bez & Toshiyuki Furui & Yoshiki Seo (ed.), High Performance Computing on Vector Systems, pages 109-122, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-35074-3_8
    DOI: 10.1007/3-540-35074-8_8
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-540-35074-3_8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.